School of Engineering
School of Engineering

School of Engineering

Alumni/ae Artificial Intelligence Awards, honors and fellowships Center for Brains Minds and Machines Computer graphics Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical engineering and computer science (EECS) Faculty MIT Schwarzman College of Computing MIT Siegel Family Quest for Intelligence MIT-IBM Watson AI Lab School of Engineering

Antonio Torralba, three MIT alumni named 2025 ACM fellows

Torralba’s research focuses on computer vision, machine learning, and human visual perception.

Antibiotics Artificial Intelligence Bacteria Biological engineering Broad Institute Collaboration Computer science and technology Disease Drug development Faculty Harvard-MIT Health Sciences and Technology Health sciences and technology Institute for Medical Engineering and Science (IMES) Interview Jameel Clinic Microbes School of Engineering Synthetic biology

3 Questions: Using AI to accelerate the discovery and design of therapeutic drugs

Professor James Collins discusses how collaboration has been central to his research into combining computational predictions with new experimental platforms.

Artificial Intelligence Awards, honors and fellowships Biological engineering Biology Mathematics MIT Schwarzman College of Computing School of Engineering School of Science Students Undergraduate

Katie Spivakovsky wins 2026 Churchill Scholarship

The MIT senior will pursue a master’s degree at Cambridge University in the U.K. this fall.

3-D printing Aging Artificial Intelligence Civil and environmental engineering Collaboration Global Health Care Health sciences and technology Imaging International initiatives Invention Mechanical engineering Research School of Engineering Singapore-MIT Alliance for Research and Technology (SMART) Wearable sensors

SMART launches new Wearable Imaging for Transforming Elderly Care research group

WITEC is working to develop the first wearable ultrasound imaging system to monitor chronic conditions in real-time, with the goal of enabling earlier detection and timely intervention.

Artificial Intelligence Chemical engineering Computer science and technology DMSE machine learning Materials science and engineering National Science Foundation (NSF) Research School of Engineering

How generative AI can help scientists synthesize complex materials

MIT researchers’ DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.

Artificial Intelligence Classes and programs Collaboration Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Education, teaching, academics Electrical engineering and computer science (EECS) machine learning MIT Schwarzman College of Computing Philosophy School of Engineering School of Humanities Arts and Social Sciences Technology and society

The philosophical puzzle of rational artificial intelligence

As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.

Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Health Care Institute for Medical Engineering and Science (IMES) Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Research School of Engineering Technology and society

Why it’s critical to move beyond overly aggregated machine-learning metrics

New research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.

Artificial Intelligence Brain and cognitive sciences Center for Brains Minds and Machines Electrical engineering and computer science (EECS) Giving MIT Schwarzman College of Computing MIT Siegel Family Quest for Intelligence Neuroscience Research School of Engineering School of Science

At MIT, a continued commitment to understanding intelligence

With support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.

3-D printing Artificial Intelligence Center for Bits and Atoms Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Design Electrical engineering and computer science (EECS) Fabrication Invention machine learning MIT Schwarzman College of Computing School of Engineering

Generative AI tool helps 3D print personal items that sustain daily use

“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.

Algorithms Alternative energy Artificial Intelligence Batteries Climate change Computer science and technology Electrical engineering and computer science (EECS) Energy Energy storage Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Pollution Research School of Engineering Sustainability Sustainable computing

3 Questions: How AI could optimize the power grid

While the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.